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Conductivity, Frequency-domain analysis, Image reconstruction,
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Krueger-Ziolek, S.,
Vauhkonen, M.,
Wolf, G.,
Mueller-Lisse, U.,
Moeller, K.,
EIT Imaging Regularization Based on Spectral Graph Wavelets,
MedImg(36), No. 9, September 2017, pp. 1832-1844.
IEEE DOI
1709
bioelectric phenomena, biological tissues,
electric impedance imaging,
wavelet transforms, wavelet transforms, Jacobian matrices,
Electricalimpedancetomography
BibRef
Liu, D.,
Khambampati, A.K.,
Du, J.,
A Parametric Level Set Method for Electrical Impedance Tomography,
MedImg(37), No. 2, February 2018, pp. 451-460.
IEEE DOI
1802
Conductivity, Image reconstruction, Inverse problems, Level set,
Lungs, Shape, Tomography, Electrical impedance tomography,
parametric level set method
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Garmatter, D.[Dominik],
Harrach, B.[Bastian],
Magnetic Resonance Electrical Impedance Tomography (MREIT):
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BibRef
Liu, S.,
Jia, J.,
Zhang, Y.D.,
Yang, Y.,
Image Reconstruction in Electrical Impedance Tomography Based on
Structure-Aware Sparse Bayesian Learning,
MedImg(37), No. 9, September 2018, pp. 2090-2102.
IEEE DOI
1809
Tomography, Image reconstruction, Bayes methods, Electrodes,
Voltage measurement, Conductivity, Computational modeling,
maximuma posteriori(MAP) estimation
BibRef
Leijsen, R.L.,
Brink, W.M.,
van den Berg, C.A.T.,
Webb, A.G.,
Remis, R.F.,
3-D Contrast Source Inversion-Electrical Properties Tomography,
MedImg(37), No. 9, September 2018, pp. 2080-2089.
IEEE DOI
1809
Radio frequency, Mathematical model,
Image reconstruction, Magnetic resonance imaging,
electromagnetic Green's tensor field representations
BibRef
Lee, K.,
Woo, E.J.,
Seo, J.K.,
A Fidelity-Embedded Regularization Method for Robust Electrical
Impedance Tomography,
MedImg(37), No. 9, September 2018, pp. 1970-1977.
IEEE DOI
1809
Electrodes, Conductivity, Tomography, Image reconstruction,
Voltage measurement, Jacobian matrices,
motion artifacts reduction
BibRef
Hamilton, S.J.,
Hauptmann, A.,
Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With
Deep Neural Networks,
MedImg(37), No. 10, October 2018, pp. 2367-2377.
IEEE DOI
1810
Tomography, Image reconstruction, Conductivity, Real-time systems,
Impedance, Robustness, Current measurement,
conductivity imaging
BibRef
Liu, D.,
Smyl, D.,
Du, J.,
A Parametric Level Set-Based Approach to Difference Imaging in
Electrical Impedance Tomography,
MedImg(38), No. 1, January 2019, pp. 145-155.
IEEE DOI
1901
Conductivity, Tomography, Image reconstruction,
Computational modeling, Level set, Conductivity measurement,
inverse problems
BibRef
Zaravi, S.,
Amirfattahi, R.,
Vahdat, B.V.,
Investigation of error propagation and measurement error for 2D block
method in Electrical Impedance Tomography,
IPRIA15(1-4)
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1603
bioelectric potentials
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Lu, L.[Lin],
Liu, L.[Lili],
Hu, C.[Chun],
Analysis of the electrical impedance tomography algorithm based on
finite element method and Tikhonov regularization,
ICWAPR14(36-42)
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1402
Electrodes
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Maimaitijiang, Y.,
Roula, M.A.,
Sobeihi, K.,
Watson, S.,
Williams, R.J.,
Griffiths, H.,
A parallel implementation of a Magnetic Induction Tomography: Image
reconstruction algorithm on the ClearSpeed Advance accelerator board,
ICIP09(1757-1760).
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0911
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Isa, M.D.[Mohd Daud],
Rahmat, M.F.[Mohd Fua'ad],
Application of Digital Imaging Technique in Electrical Charge
Tomography System for Image Reconstruction Validation,
ICMV09(277-281).
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0912
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He, S.J.[Shi-Jun],
Wang, H.X.[Hua-Xiang],
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A 3D Image Reconstruction Algorithm of Electrical Capacitance
Tomography Based on Support Vector Machines,
CISP09(1-4).
IEEE DOI
0910
BibRef
Huang, J.J.[Ji-Jer],
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The effect of electrode-skin interface model in electrical impedance
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ICIP98(III: 837-840).
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9810
BibRef
Martin, T.,
Idier, J.,
A FEM-Based Nonlinear MAP Estimator in Electrical Impedance
Tomography,
ICIP97(II: 684-687).
IEEE DOI
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9700
Shallof, A.M.,
Barber, D.C.,
Imaging the complex conductivity in electrical impedance tomography,
ICIP96(III: 543-546).
IEEE DOI
9610
BibRef
Gu, T.Y.[Tian-You],
Wu, B.Y.[Bao-Yong],
Zhang, C.L.[Cheng-Lin],
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An experimental system for the waveform recognition of impedance
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8811
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Tomographic Image Generation, Cone-Beam, Fan-Beam, Helical, Spiral Reconstruction .